Belarus vs Northern Africa: Linseed — Gross Production Value
Linseed — Gross Production Value over time
- Belarus
- Northern Africa
How they compare
Northern Africa currently reports 4,615 1000 Int$ against 2,910 1000 Int$ in Belarus, a difference of 1,705 1000 Int$.
That makes Northern Africa's figure about 1.6 times Belarus's.
The two have swapped places 6 times across 31 shared years of data; in 1994 it was Northern Africa ahead.
Belarus ranks 22nd and Northern Africa ranks 19th of 61 countries.
Northern Africa has averaged higher in every one of the 4 decades both report.
Head to head by decade
| Decade | Belarus | Northern Africa | Difference | Ahead |
|---|---|---|---|---|
| 1990s | 7,864 1000 Int$ | 12,270 1000 Int$ | 4,405 1000 Int$ | Northern Africa |
| 2000s | 6,738 1000 Int$ | 11,438 1000 Int$ | 4,700 1000 Int$ | Northern Africa |
| 2010s | 3,470 1000 Int$ | 4,578 1000 Int$ | 1,108 1000 Int$ | Northern Africa |
| 2020s | 2,935 1000 Int$ | 6,343 1000 Int$ | 3,408 1000 Int$ | Northern Africa |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher linseed — gross production value, Belarus or Northern Africa?
- Northern Africa, at 4,615 1000 Int$ against 2,910 1000 Int$ in Belarus as of 2024.
- What is the difference in linseed — gross production value between Belarus and Northern Africa?
- 1,705 1000 Int$, with Northern Africa ahead.
- How many years of comparable data are there for Belarus and Northern Africa?
- 31 years are reported by both, from 1994 to 2024.
- How do Belarus and Northern Africa rank globally for linseed — gross production value?
- Belarus ranks 22nd and Northern Africa ranks 19th of 61 countries.
- Where does this data come from?
- Food and Agriculture Organization of the United Nations, published as Linseed — Gross Production Value (constant 2014-2016 thousand I$). Statizoid refreshes it automatically from the source and publishes the full history for both places.
Individual pages
About this data
The domain provides detailed data on the value of agricultural production that is calculated by the agricultural production data and the price data at farm gate. Thus, the value of production measures the agricultural production in monetary terms at the farm gate level.